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A Leader’s Guide to World-Building in the AI-Augmented Enterprise
A leadership framework for world building, and key mindset shifts that open up a new way of thinking about the role of non-technical leaders in the…
Oct 21
•
Cerys Hearsey
and
Lee Bryant
3
AI Round-up: Both Destroyer and Maker of Worlds?
Interesting new developments in models big and small, plus a note about the increasing focus on world models and world building as the next frontier for…
Oct 14
•
Lee Bryant
2
Building the Future of Organisational Learning One Agent at a Time
How can L&D teams explore agentic tools while staying grounded in learner needs?
Oct 7
•
Cerys Hearsey
1
Doing the Work: Why Learning is Key to Agentic AI Success & Avoiding Workslop
Why we need to be ready to 'do the work' of organisational transformation if we are to realise the potential of enterprise AI, and thinking about what…
Sep 30
•
Lee Bryant
1
Enterprise AI is a Social Technology, Not the Sorcerer’s Apprentice
Some links and thoughts on agentic AI's positive potential to transform work and jobs, and the need to avoid both magical thinking and AI panic
Sep 16
•
Lee Bryant
2
AgentOps: The Scaling Layer for Agentic AI in the Enterprise
To move beyond prototypes and achieve practical impact, we need to build the organisational infrastructure for agent development, deployment, and…
Sep 9
•
Cerys Hearsey
Collaborative Architectures for Agents, People & Machines
Some thoughts and further reading on how to think about creating collaborative architectures for agentic AI in the enterprise
Sep 2
•
Lee Bryant
4
Will AI be 'Winner takes it all' or General Purpose Technology?
Considering the diffusion of economic gains from AI, why enterprise AI is more interesting than consumer use cases, and why learning by doing is…
Aug 5
•
Lee Bryant
3
1
Codifying Rulesets in the Explainable Enterprise
How encoding the unspoken rules of how we work could create better guardrails for agentic AI and improve human-AI collaboration in the enterprise
Jul 22
•
Lee Bryant
3
To Protect Human Agency, Codify the Invisible
Codified coordination, forkable practices, and agentic guardrails—how we design AI-ready work that puts people first.
Jul 15
•
Cerys Hearsey
1
Is Enterprise AI Ultimately Less Risky than Consumer AI?
Whilst the risks of consumer AI are fuelling a backlash, the quiet revolution in enterprise AI offers a more promising, human-scale future (if we get it…
Jul 8
•
Lee Bryant
3
Can Learning Help Overcome the AI Capability-Absorption Gap?
Organisational readiness will take time, but that should not stop us from preparing our people to thrive in an enterprise AI workplace
Jun 24
•
Lee Bryant
7
2
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